WORKSHOP

10:00 AM CET WORKSHOP A: SMART CARE: ELEVATING THE PATIENT EXPERIENCE WITH AI


Patient experience is a cornerstone of quality healthcare, yet many organizations struggle to deliver personalized and seamless care journeys. With 80% of healthcare data unstructured and underutilized, artificial intelligence offers a transformative opportunity to bridge this gap. By analysing diverse datasets—electronic health records, wearables, social media—AI enables a deeper understanding of patient behaviors, paving the way for more personalized and effective care delivery. However, despite its potential, implementing AI in patient care presents challenges. These include data and privacy concerns, integration barriers and accessibility.

This workshop session provides actionable insights and strategies to overcome these barriers, focusing on three critical areas:

  • Patient Interactions: Learn how AI can tailor healthcare services to individual needs, analysing complex data to deliver compassionate care.
  • Improved Healthcare Outcomes: Discover how AI-powered tools streamline decision-making and enable proactive interventions, leading to better health results.
  • Ethical and Operational Integration: Gain strategies to address privacy concerns and seamlessly integrate AI into existing healthcare frameworks.

What you will gain from attending this workshop?

This workshop equips participants with a clear understanding of how AI can enhance patient experiences, offering practical approaches to navigating challenges

Richard Dasselaar
Richard Dasselaar Digital Transformation & Strategy Leader Modern Dental Group

11:30 AM CET WORKSHOP B: IS GENAI DISRUPTING, ENHANCING AND EVOLVING HEALTHCARE?


Join this interactive workshop which dives into the transformative potential of GenAI technologies in healthcare. Led by key opinion leaders, the session will combine real world examples, thought leadership, and hands-on activities to equip attendees with actionable knowledge and strategies to leverage GenAI in their organisations.

Key Takeaways:

  • Current Applications: Understand how generative AI is currently being used in drug discovery, clinical trials optimization, and healthcare diagnostics.
  • Future Trends: Explore upcoming advancements, including personalised medicine and AI- driven patient engagement, and how these will shape the industry.
  • Implementation Strategies: Learn how to navigate the challenge of data privacy, and integration with existing systems to effectively deploy generative AI solutions.

What will you gain from attending?

Participate in this workshop to gain a comprehensive understanding of how GenAI is transforming pharmaceutical and healthcare workflows, brought to life through real world case studies and success stories. Discover practical tools and frameworks to evaluate the viability of GenAI projects for your organization. Additionally, connect with a community of innovators and industry experts to inspire collaboration.

Marco Palladino
Marco Palladino Global Data Protection Officer & AI Trust Head Counsel Takeda Pharmaceutical

1:00 PM CET NETWORKING LUNCH

2:30 PM CET WORKSHOP C: FROM BENCH TO BEDSIDE: AI AND THE RISE OF DISRUPTIVE THERAPIES


AI is poised to revolutionise the pharmaceutical and healthcare industries, driving breakthroughs in gene editing & personalised treatments. However, translating the immense promise of AI into real- world, impactful therapies requires overcoming significant hurdles. This workshop will delve into the critical challenges facing AI-powered therapeutic development, including:

  • Regulatory Compliance: Navigating the complex regulatory landscape to ensure AI-driven therapies meet stringent safety and ethical standards.
  • Clinical Translation: Streamlining clinical trials and accelerating the adoption of AI-enabled treatments in real-world settings.
  • Collaborative Ecosystems: Fostering successful partnerships between pharma, healthcare providers, and technology companies to drive AI innovation.

What will you gain by attending?

By attending this workshop, you’ll gain actionable insights into how AI is transforming therapeutic development. Learn practical strategies to overcome regulatory, ethical,and operational challenges and discuss whether AI driven therapeutics are the future of healthcare.

5:00 PM CET END OF WORKSHOP DAY

Agenda Day 1

9:15 AM CET PANEL DISCUSSION - BEYOND THE HYPE: SCALING AI FOR PHARMA & HEALTHCARE TRANSFORMATION


Researchers estimate that AI could generate up to $100 billion annually across the healthcare sector by optimizing clinical trials, streamlining administrative processes, and improving diagnosis accuracy. Yet, despite the promise, scaling AI beyond pilot projects and into widespread adoption remains a significant challenge. From data silos and regulatory hurdles to integration with legacy systems and ethical concerns, the road to AI-driven transformation is complex. During the opening panel discussion key opinion leaders will discuss actionable solutions on how to move AI implementation from pilot projects to enterprise-wide implementation.

Key discussion points include:

  • From Pilot to Scale: How to successfully transition AI projects from limited trials to full enterprise deployment.
  • Overcoming Data Silos: Strategies for integrating AI across fragmented healthcare data ecosystems while ensuring security and compliance.
  • Human + AI Collaboration: How to empower healthcare professionals with AI tools that enhance decision-making rather than replace human expertise
Roberta Pandolfi
Roberta Pandolfi Analytics Innovation Strategist Boehringer Ingelheim
Julia Chernova
Julia Chernova Digital Health Expert Bayer Pharmaceuticals
Gavin Outteridge
Gavin Outteridge General Manager Arysana

9:45 AM CET PANEL DISCUSSION - RESPONSIBLE AI: TACKLING BIAS AND EARNING TRUST


AI is transforming pharma and healthcare, from accelerating drug discovery to improving diagnostics. With this power comes a critical challenge: ensuring AI-driven decisions are fair, unbiased, and trustworthy. Studies show that biased AI models in healthcare have resulted in black patients receiving nearly 20% less care than white patients with the same health conditions. Without proactive measures, AI risks perpetuating disparities rather than closing the gaps in healthcare access and treatment.

Join our panel discussion on Responsible AI to explore practical solutions for building fair, accountable AI systems.

Key discussion points include:

  • Transparency & Explainability: Best practices for making AI decisions interpretable and accountable to clinicians, regulators, and patients.
  • Inclusive AI Development: Ensuring AI models are trained on diverse, representative datasets to improve healthcare equity.
  • Building Public & Physician Trust: Strategies for increasing confidence in AI-driven decisions and demonstrating responsible AI leadership.
Cedric Verschueren
Cedric Verschueren Head of Ethics & Business Integrity Sanofi
Dr Zara Ghazoui
Dr Zara Ghazoui Director, Digital Innovation, Oncology Medical AstraZeneca
Jakob Mainz
Jakob Mainz Director of AI Governance Novo Nordisk

10:30 AM CET KEYNOTE PRESENTATION - WHAT ARE AGENTIC AI’S WORKERS, AND CAN WE TRUST THEM IN HEALTHCARE?


While much focus has been on AI as a diagnostic or analytical tool, the emergence of Agentic AI presents both exciting opportunities and critical challenges for Pharma. Join this session where Sam Kahlil, Vice President, Novo Nordisk delves into the concept of Agentic AI workers in healthcare. Sam will explore their potential, applications, the crucial considerations for implementation and quality assurance.

Key discussion points include:

  • Trust and Human Oversight: Discuss how to build trust in Agentic AI agents and explore the amount of human interaction these systems require
  • Patient Wellbeing: Address ethical concerns to ensure patient safety
  • Organizational Integration: Discover how to integrate and maximizing the benefits of this third wave of AI
Sam Khalil
Sam Khalil Vice President and Head of Data Insights & Foundata Ai Novo Nordisk

11:00 AM CET MORNING REFRESHMENTS

11:30 AM CET CASE STUDY - OPTIMIZING REGULATORY PROCESSES: AI INSIGHTS FROM ASTRAZENECA


Delivering on their commitment to push the boundaries of science and advance innovation, AstraZeneca has been an early adopter of AI. This global pharmaceutical leader has harnessed AI to speed up drug discovery, identify disease biomarkers, facilitate diagnostics, and more. Now, Generative AI is revolutionizing regulatory submissions, offering new efficiencies and transformative capabilities.

Join this session and AstraZeneca’s Emilie Louvet, Director of Data Products, Digital Regulatory, Regulatory Affairs as she shares her leadership in driving strategic initiatives on next-generation submissions. Learn how AstraZeneca is implementing AI-powered solutions to accelerate submission timelines and enhance regulatory processes, ensuring faster approvals and greater efficiency.

Key Discussion Points:

  • Getting Started with AI in Regulatory Submissions: Best practices and key considerations for integrating Generative AI into submission workflows
  • Cost Impact of AI-Powered Regulatory Submissions: Understanding the benefits of AI-driven automation
  • Trust but Verify: Explore how to maintain accuracy and compliance while leveraging AI’s potential in regulatory submissions.
Émilie Louvet
Émilie Louvet AstraZeneca Director Regulatory Data Products, Digital Regulatory, Regulatory Affairs

11:45 AM CET CASE STUDY: BEYOND TRAINING: DISCOVER HOW ASTRAZENECA ARE EMPOWERING 12,000 EMPLOYEES THROUGH GENERATIVE AI


In an era defined by AI advancements, traditional training falls short. How do you truly equip your workforce to thrive amidst the Generative AI revolution? Join this session where Oliver Patel, Enterprise AI Governance lead, AstraZeneca, delves into their award-winning “Thriving in the Age of AI” program, recently recognized as the most innovative AI learning program of the year. During this session Oliver will explore how AstraZeneca successfully engaged over 12,000 employees, transforming a standard training initiative into a powerful AI empowerment experience. He will share insights into:

  • Moving Beyond Traditional Training: Discover how AstraZeneca shifted the focus from technical skills to fostering deep understanding and critical thinking about AI’s impact.
  • Building a Collaborative Learning Environment: Learn how AstraZeneca created spaces for employees to explore the opportunities, risks, and ethical considerations of Generative AI through collaborative discussions and expert engagement.
  • Empowering Responsible AI Adoption: Discover how the team at AstraZeneca guided employees to leverage AI effectively and responsibly, both in their professional andpersonal lives
Oliver Patel
Oliver Patel Head of Enterprise AI Governance AstraZeneca

12:00 PM CET FROM COMPLIANCE TO COMPETITIVE EDGE: BOEHRINGER INGELHEIM’S STRATEGIC APPROACH TO THE EU AI ACT


The EU AI Act is poised to reshape the landscape of AI in pharmaceutical and healthcare innovation. While many perceive it as a regulatory hurdle, Boehringer Ingelheim views it as a unique opportunity to solidify its position as a leader in responsible and trustworthy AI. During this session Micheal Scrhopp, Head of Digital Innovation for Regulatory Affairs will delve into how Boehringer Ingelheim is strategically leveraging the EU AI Act to not only ensure compliance but also to unlock significant competitive advantages. Micheal will explore the Act’s unique selling proposition for European pharma, how it can be transformed into a valuable asset for clients and regulators, alongside providing actionable tips for organizations to embrace this regulatory shift as a catalyst for innovation.

Key Talking Points:

  • Strategy Implementation: Explore Boehringer Ingelheim’s proactive approach to navigating the Act and transforming compliance into a strategic advantage
  • The European Outlook: Identify the USP the AI act brings to European pharma
  • Being Prepared: Gain practical insights and actionable tips for preparing your organization for the EU AI Act
Michael Schorpp
Michael Schorpp Head of Digital Innovation & AI, Global Regulatory Affairs Boehringer ingelheim

12:30 PM CET ROUNDTABLE GROUP A - GENAI AND COPYRIGHT: WHO OWNS AI-GENERATED TREATMENT PLANS AND DIAGNOSTICS


  • Christos Varsakelis - Associate Director of AI & ML - Janssen

12:30 PM CET GROUP C - HOW CAN GENAI BE SCALED RESPONSIBLY WHILE MAINTAINING TRUST AND COMPLIANCE?


  • Muhammad Salman Saif - Senior Director - Digital Transformation, (Gen) AI Global Strategy - Argenx

1:30 PM CET NETWORKING LUNCH

2:30 PM CET DRUG DEVELOPMENT - AI IN RARE DISEASE THERAPEUTICS


  • João Gonçalo Nascimento - Performance Analyst - Pfizer

Discover how artificial intelligence is accelerating the development of life-changing treatments for rare diseases. This session will showcase how AI algorithms are:

  • Identifying novel disease targets.
  • Unravelling complex disease mechanisms.
  • Streamlining the drug discovery pipeline

2:30 PM CET CLINICAL TRIALS - LEVERAGING GENAI IN REAL-WORLD EVIDENCE FOR CLINICAL TRIALS


  • Thirupathi Pattipaka - Global Director, DataScience & AI - Novartis

Join Thirupathi Pattipaka, Global Director, Data Science & AI at Novartis, to explore the transformative power of GenAI in harnessing Real-World Evidence for clinical trials. Learn how to strategically integrate AI and data across business functions to drive efficiency and improve patient outcomes.

Key Takeaways:

  • Cost Reduction: Discover how GenAI streamlines RWE analysis, significantly reducing operational expenses
  • Enhanced Decision Making: Understand how GenAI driven insights from RWE lead to more informed and timely decisions.
  • Improved Patient Engagement: Learn how GenAI facilitates personalized patient engagement strategies using RWE, boosting trial participation and adherence.

2:30 PM CET COMMERCIAL - OPERATIONALIZING NOVO NORDISK’S DATAGOVERNANCE IN DRIVING COMMERCIAL EXCELLENCE


  • Sebastian Sbirna - Data Governance - Global Data and AI - Novo Nordisk

Join Sebastian Sbirna, Data Governance Lead in GlobalData & AI, to explores Novo Nordisk’s approach to data governance in its commercial pharmaceutical operations, focusing on how robust data management enables strategic data-driven decision-making. Key Discussion Points

  • Data management complexities in the commercial functions of large-scale pharma
  • Strategic objectives for advancing analytics capabilities and ensuring comprehensive data transparency
  • Methodology for rolling out operational Data Governance - moving from proof-of-concept pilots to global deployment
  • Key enablers and lessons learned

3:00 PM CET DRUG DESIGN - LLMS AND AUTONOMOUS AGENTS IN ACTION


  • Geraldine Low - Lead Product Designer, Artificial Intelligence and Machine Learning - GSK

Join this session as Geraldine Low, Lead Product Designer, Artificial Intelligence and Machine Learning at GSK presents JulesOS, a proprietary LLM-based operating system that leverages a community of intelligent agents to enhance productivity across administrative, business development, and R&D functions.

Key takeaways from the session included:

  • AI Strategy: The potential of LLM-driven agents toautomate data-intensive tasks
  • Human Loop: The importance of human oversight toguide and validate AI output

3:00 PM CET CLINICAL TRIAL - GEN AI AND AGENTS FOR CLINICAL TRIAL ACCELERATION


In this presentation we will explore how Generative AI and Large Language Models are revolutionizing clinical trials by accelerating protocol development, enhancing patient recruitment, streamlining data analysis, and optimizing regulatory processes.

Key talking points include:

  • Integrate AI Agents for Workflow Automation: Learn how to deploy AI agents to handle repetitive tasks and reducing manual workload.
  • Ensure Data Quality, Privacy, and Compliance: Discuss robust data governance frameworks to manage clinical data securely, ensuring AI models comply with regulatory standards.
  • Leverage a Modern Generative AI Tech Stack Integrated with Clinical Systems: Learn how to build a scalable Generative AI tech stack that integrates seamlessly with existing clinical systems

3:00 PM CET COMMERCIAL - AI & HYPER PERSONALISATION: WHO, WHEN & HOW TO TARGET YOUR IDEAL HCP AUDIENCE


  • Vladimir Nimec - Director Data & AI - Daiichi Sankyo

Join Vladimir Nimec, Director Data & AI, Daiichi Sankyo,as he explores how AI is revolutionizing commercial pharma’s approach to HCP targeting, enabling hyper personalised engagement. We’ll delve into practical applications of AI-driven analytics to identify the right HCPs, understand their specific needs and deliver impactful information.

Key discussion points include:

  • Market Segmentation: Explore how AI allows for granular HCP segmentation
  • Sales Strategy: Discuss how Predictive AI modelsan identify optimal engagement timing.
  • Personalisation: Delve into how AI enables the delivery of personalised content and resources tailored to individual HCP preferences

3:30 PM CET DRUG DISCOVERY - ACCELERATING R&D: BUILDING A SCALABLE AI FRAMEWORK


  • Juan Ignacio Pascual - Director Global Business Adoption - Johnson & Johnson Innovative Medicine

Join Juan Ignacio Pascual, Director, Global Business Adoption, J&J as he delves into the critical aspects of building a robust framework for AI integration in R&D, focusing on governance, skills management and change management. We will explore practical strategies for overcoming these hurdles, fostering a culture of innovation.

Key talking points:

  • Robust Governance: Explore the importance of establishing clear guidelines and responsibilities in building trust and ensuring responsible AI deployment.
  • Skills and Talent: Discuss how to bridging the gap between traditional pharma expertise and AI/data science skills. This involves investing in training programs, attracting top AI talent, and fostering collaboration between domain experts and data scientists.
  • Change Management: Learn how to successfully integrate AI with proactive change management strategies. Overcoming resistance to change, engaging stakeholders, and effectively communicating the benefits of AI are essential for fostering a culture of innovation

3:30 PM CET CLINICAL TRIAL - CASE STUDY: DIGITAL TWIN: APPLICATIONS & ADVANCEMENTS


  • Zhaoling Meng - AVP, Global Head Clinical Modeling & Evidence Integration, Digital and Data Sciences - Sanofi

Zhaoling Meng, AVP, Sanofi, will discuss the global pharma organisations use of AI to develop and implement digital twins in clinical trials.

Key Discussion Points:

  • Simulating Patient Responses: How digital twins are used to predict and model patient reactions to treatments.
  • Personalizing Treatment: The application of digital twins for tailoring treatment plans to individual patient profiles.
  • Optimizing Trial Protocols: Utilising digital twins to improve the efficiency of clinical trial design

3:30 PM CET PANEL DISCUSSION - LEVERAGING AI FOR ENHANCED PATIENTENGAGEMENT, REDUCED COSTS, AND IMPROVED ACCESS


  • Galina Gray - SVP Digital Transformation - Bayer

AI offers unprecedented opportunities to move beyond a one-size-fits-all approach and cultivate meaningful, personalised connections with individuals throughout their healthcare journey. This expert panel will delve into the tangible benefits of leveraging AI to enhance patient engagement, improve outcomes, reduce operational costs, and expand patient access to vital treatments and information. Ultimately, the discussion will focus on creating a more positive and supportive healthcare experience.

4:30 PM CET CLOSING PANEL DISCUSSION - NAVIGATING THE PATIENT DATA DILEMMA: HOW DO WE HONOR PRIVACY WITHOUT STIFLING PROGRESS?


AI systems promise to revolutionize patient care. However, this transformation comes at a cost: the delicate balance between harnessing patient data for innovation and safeguarding individual privacy. In our closing panel discussion, our key opinion leaders will explore the delicate balance between accelerating AI-driven breakthroughs and protecting sensitive patient information, asking the question: How do we honour privacy without stifling progress?

Key Discussion Topics:

  • The Balancing Act: Discuss how to navigate public benefit with individual privacy rights
  • Working Together: Explore the power of collaboration in responsible AI development
  • Data Governance: Lean how to establish a strong data governance framework
Ulrik Ulrik Tirsted Zeuthen
Ulrik Ulrik Tirsted Zeuthen Data and AI Director Novo Nordisk
Katriona Brooksbank
Katriona Brooksbank Innovation Lead R&I Innovation Lead, NHS GGC Hon. Senior Lecturer, School of Cardiovascular & Metabolic Health, University of Glasgow

5:00 PM CET CLOSING REMARKS - INTERACTIVE CONFERENCE WRAP-UP


As we wrap up day one of the conference, it’s your turn to take the stage!

Join us for an interactive closing session where attendees will share their key takeaways, standout moments, and most valuable insights from the day. We’ll also lookahead to day two, identifying the topics and challenges you’re eager to explore further.

Agenda Day 2

9:15 AM CET KEYNOTE - THE REGULATORY ROADMAP FOR AI IN PHARMA AND HEALTH


The EU AI Act is set to become one of the most comprehensive regulatory frameworks governing AI. For pharmaceutical and healthcare organizations, understanding its implications is critical to ensuring compliance, mitigating risks, and maintaining a competitive edge. During this session, Kerry Sheehan, AI Policy Expert, offers an exploration of the EU AI Act and its relevance to the healthcare sector. Attendees will gain actionable insights into the regulatory requirements, risk management strategies, and the steps necessary to align AI initiatives with the new regulations.

Key Takeaways:

  • Key Provisions of the Act: Gain a detailed understanding of the classifications, requirements, and compliance obligations set out in the EU AI Act.
  • Sector-Specific Implications: Learn how the regulations apply specifically to pharmaceuticals and healthcare
  • Compliance and Risk Management: Discover best practices for aligning AI initiatives with regulatory requirements
Kerry Sheehan
Kerry Sheehan AI Policy, Strategy and Regulation Specialist UK Govt

9:45 AM CET AI-Powered Pharma: How Big Data Shapes the Industry


As AI becomes embedded in pharmaceutical research and development, its relationship with data is more critical than ever. AI algorithms are only as effective as the data they are trained on - making data quality, structure and harmonization foundational to success.  

In the pharmaceutical industry, where innovation hinges on complex, high-volume datasets, curating and integrating clean, consistent, and comprehensive data is a strategic imperative.  

This presentation will explore how high-quality data fuels AI-driven breakthroughs across drug discovery, clinical trials, and personalized medicine. It will address the persistent challenges of data silos, inconsistencies, and biases that hinder AI performance. Attendees will gain insights into how a disciplined approach to data management not only enhances predictive modeling and decision-making but also accelerates the path from research to real-world patient outcomes. 

Key Takeaways: 

  • Data quality is non-negotiable: Clean, harmonized, and well-structured data is essential for generating accurate predictions and actionable insights. 
  • Breaking down silos unlocks potential: Fragmented and inconsistent datasets limit AI's effectiveness. Integrating diverse datasets and ensuring interoperability are key to maximizing its impact in pharma. 
  • Strategic data management drives innovation: Effective data curation and governance empower AI’s ability to accelerate research, optimize clinical trials, and personalize treatments - transforming the future of healthcare. 
Ayelet Ofarim
Ayelet Ofarim Customer Success Manager CAS Custom Services

10:15 AM CET KEYNOTE - DOES YOUR AI STRATEGY FEEL LIKE YOU’RE MARCHING IN QUICKSAND?


In the rapidly evolving landscape of AI, pharma companies often rush to implement AI solutions without first clearly defining the problems they are trying to solve. This approach leads to misaligned initiatives that fail to deliver meaningful results as the focus is often too much on the “how” rather than the “why.”During this session Raj Madan, SVP and Chief Digital and Information Technology Officer, Arcutis Biotherapeutics, Inc., delves into the complexities and common pitfalls that organizations encounter on their AI journey, showcasing how in the fast-evolving world of AI, delivery is the currency of credibility.

Key discussion points include:

  • Organizational Readiness: Learn how pharma companies can assess their readiness for AI adoption. This includes evaluating if they have the right culture, executive sponsorship and talent in place.
  • Data Quality and Governance: AI is only as good as the data it’s fed. Discuss how Pharma companies must analyse their data to ensure it is fit for purpose
  • Technology and Partnerships: Explore how pharma companies must consider partnership models, leveraging external expertise to accelerate AI adoption.
Rajvir Madan
Rajvir Madan Chief Digital and Information Technology Officer Arcutis Biotherapeutics

10:45 AM CET KEYNOTE - DATA-DRIVEN RISK DETECTION & DRUG REPURPOSING


Join this session as Ghaith Sankari, Head of Global Digital Health & Data Science, Bayer dives into the practical application of AI in revolutionising drug development and maximizing the value of existing pharmaceutical assets. We will explore a case study demonstrating how AI empowers proactive risk detection across the entire drug lifecycle, from initial target identification to post-market surveillance. Furthermore, Ghaith will showcase how the same AI-driven approach can be leveraged to identify new therapeutic uses for existing drugs.

Key Takeaways:

  • Enhanced Business Value through Risk Mitigation: Learn how AI-powered risk detection can minimize losses from failed trials, safety issues, and regulatory delays.
  • Accelerated & Cost-Effective Drug Development: Understand how AI-driven drug repurposing can significantly reduce the time and cost of developing new therapies
  • Improved Patient Outcomes: Discover how AI-powered drug repurposing can lead to faster access to life-changing therapies for patients
Ghaith Sankari
Ghaith Sankari Head of Global Digital Health & Data Science Bayer

11:15 AM CET LIGHTENING SESSION - DATA DISCOVERY AND AGENTIC AI


In this lightening session, Jordi Escayola, Global Head of Advanced Analytics, Artificial Intelligence and Data Science, Sanofi, explores the transformative power of data discovery and agentic AI in accelerating drug discovery, development, and personalized medicine. Jordi will delve into how intelligent agents can automate complex data analysis, uncover hidden patterns, and drive informed decision-making.

Key Takeaways:

  • Accelerated Data Insights: Discuss how Agentic AI empowers researchers to rapidly extract meaningful insights from vast and complex pharmaceutical datasets.
  • Enhanced Decision-Making: Discover how Agentic systems facilitate informed decision-making by providing automated analysis, predictive modelling, and evidence based recommendations.
  • Unlocking New Medicines: The ability of agents to autonomously explore and synthesize data opens up new possibilities for identifying novel drug targets, driving thefuture of pharmaceutical innovation.
Jordi Escayola
Jordi Escayola Head of Advanced Analytics, Artificial Intelligence and Data Science (Director) Sanofi Customer Healthcare – Opella

11:30 AM CET MORNING REFRESHMENTS

12:00 PM CET LIGHTENING SESSION - HOW AI IS BEING USED BY EMA TO IMPROVE EFFICIENCY WITHOUT COMPROMISING CONSISTENCY IN REGULATORY PROCEDURES.


Scientific Explorer is the first AI-enabled knowledge mining tool introduced by EMA for the European Medicines Regulatory Network. The tool enables easy, focused and precise search of regulatory scientific information from network’s sources to support decision-making and simplify processes. Join Lorenzo De Angelis, Architect Data & AI,European Medicines Agency in this session to lean more about scientific explorer and how it can help EMA’s regulatory processes.

Key discussion points:

  • Why has scientific explorer been developed?
  • Who can access and use scientific explorer?
  • The key features of scientific explorer
Lorenzo De Angelis
Lorenzo De Angelis Architect Data & AI European Medicines Agency

12:15 PM CET ROUNDTABLE - GROUP A – INTERNAL POLITICS GAINING BUDGET AND LEADERSHIP SUPPORT FOR AI UPSKILLING


  • Oliver Patel - Head of Enterprise AI Governance - AstraZeneca

12:15 PM CET ROUNDTABLE - GROUP B - BRIDGING THE DIGITAL DIVIDE


  • Debarshi Dey - Vice President, Head of Biometrics - Galapagos

12:15 PM CET ROUNDTABLE - GROUP C - HOW CAN EDUCATIONAL INSTITUTIONS AND PHARMA COMPANIES COLLABORATE TO EQUIP THE WORKFORCE WITH THE NECESSARY SKILLS FOR AI-DRIVEN ROLES?


  • Alice Smith - Generative AI Portfolio Manager - AstraZeneca

12:30 PM CET NETWORKING LUNCH

2:00 PM CET DRUG DISCOVERY - AI & AUTOMATION IN THE LAB


Join this session to discuss how AI is revolutionizing lab automation in pharma. From automating repetitive tasks and optimizing experimental designs, AI algorithms are empowering scientists to focus on more strategic and creative aspects of research.

Key discussion points:

  • Streamlining workflows
  • Accelerating research
  • Improving data quality

2:00 PM CET CLINICAL TRIAL - AI & AUTOMATION IN CLINICAL


This session will explore how AI is being used to automate various aspects of clinical trials, including patient screening, site management, and data analysis. Join us to discuss:

  • The latest advancements in AI-driven clinical trial automation
  • Regulatory consideration
  • A future of faster, more efficient, and less costly clinical research

2:00 PM CET COMMERCIAL - AI ENHANCED SALES & MARKETING


This session will explore how AI is being used to generate actionable insights for sales and marketing teams in commercial pharma and healthcare.

Key discussion points include:

  • The power of AI in predicting physician behaviour
  • The impact of personalizing promotional materials
  • Exploring how to optimize multichannel outreach

2:30 PM CET DRUG DISCOVERY - CASE STUDY - AI & DRUG DISCOVERY PIPELINE


This session at will explore how AI is being used across the drug discovery pipeline, including target identification, lead discovery and preclinical testing.

Join us to discuss:

  • The latest advancements in AI-driven drug discovery
  • The challenges of model validation
  • A future of more rapid and successful drug development

2:30 PM CET CLINICAL TRIALS - CASE STUDY- GALAPAGOS AI COUNCIL & JOURNEY


  • Debarshi Dey - Vice President, Head of Biometrics - Galapagos

During this session Debarshi Dey, VP Data Science,Galapagos delves into the biotech’s experience with integrating AI into its operations, exploring the formation of internal AI governance, and the practical applications of AI across its research and development pipelines.

Key discussion points include:

  • Importance of AI Governance: Understanding thecritical role of establishing internal AI governance structures to ensure responsible AI applications
  • Practical AI Applications: Gaining insights into how AI is being applied in real- world biotechnology settings to drive innovation
  • Balancing Technology and Humanity: Recognizing the importance of maintaining a balance between AI technology and the essential human element.

2:30 PM CET AI-POWERED HCP ENGAGEMENT: IMMUOCORE’SSALES TRANSFORMATION WITH LLMS


  • Sean Buckley - Chief Information Officer - Immunocore

In today’s fast-paced commercial environment, Pharma sales teams need immediate access to relevant data to effectively engage with Healthcare Providers. Join Sean Buckley, CIO of Immuocore, as he reveals how the company leverages LLMs to integrate data strategies and personalise commercial sales. Key Discussion Points:

  • Instant Knowledge: Discover how LLMs provide sales teams with rapid access to product information and up-to- the-minute marketing intelligence.
  • Data-Driven Personalisation: Learn how Immuocore uses LLMs to enable highly personalized HCP interactions.
  • Sales Efficiency: Explore how LLMs streamline sales processes, leading to improved efficiency and effectiveness.

3:30 PM CET CASE STUDY: ENTERPRISE AI AT SCALE: LEARNING FROM A BUSINESS-DRIVEN PLATFORM


As we move into the new reality of AI in our enterprise daily life, we have been through a fast and furious wave of changes, attempts, pilots and confusion. As part of a major transformation effort, the team at Roche set out to establish a modelling strategy that will allow AI at scale for the purpose of maximizing business value. Join this session where Raul Mora, Senior Development Excellence Lead, Roche, shares an unfinished journey with learnings around:

• Internal Integration: Technology architecture & infrastructure

• The Importance of Strategy: Data and modelling strategy, bringing biostats, disease modellers, ML data scientists and business together

• Unique Selling Proposition: The need to establish the value proposition of AI, for both short and long term gains

Raul Mora
Raul Mora Senior Strategic Operational Intelligence Lead/Senior Development Excellence Lead Roche

4:00 PM CET CASE STUDY - HOW NOVO NORDISK ENSURE THEIR DATA SCIENCE & AI PROCESS AND POLICY ARE COMPLIANT TO HEALTH AUTHORITY REGULATIONS AND EXPECTATION


During this case study we will uncover:

• What are the current compliance pain points – a view from corporate glasses

• What are the new compliance factors and considerations – a view from both industry and authority glasses

• What is AI governance and its importance in big pharma – a success story

Volkan Kocak
Volkan Kocak AI Quality Specialist Novo Nordisk

4:30 PM CET CLOSING PANEL DISCUSSION - A GLIMPSE INTO THE FUTURE: GLOBAL ACCESSIBILITY & MARKET OUTLOOK


As AI continues to revolutionise healthcare, critical questions remain about its global impact, accessibility, and long-term market sustainability. Despite rapid advancements, no AI-discovered drug has yet passed Phase 3 clinical trials—how close are we to this breakthrough, and what challenges must be overcome?This closing panel brings together leading experts to explore the future of AI-driven therapeutics, the evolving biotech-pharma relationship, and strategies for ensuring equitable access to AI-powered healthcare innovations.

Key topics include:

• The Road to AI Drug Approval: What hurdles remain before AI-discovered drugs reach the market?

• Funding & Investment: How can we secure sustainable funding for AI-driven drug development?

• Bridging the Accessibility Gap: Ensuring AI-powered healthcare benefits reach global populations

Dr Zara Ghazoui
Dr Zara Ghazoui Director, Digital Innovation, Oncology Medical AstraZeneca
Divya Olofsson
Divya Olofsson Head of Data, Analytics and AI Oriola
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